Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yuka Kiriyama"'
Autor:
Eiko Sakurai, Masaaki Okubo, Yutaka Tsutsumi, Tomoyuki Shibata, Tomomitsu Tahara, Yuka Kiriyama, Ayano Michiba, Naoki Ohmiya, Tetsuya Tsukamoto
Publikováno v:
Fujita Medical Journal, Vol 9, Iss 2, Pp 163-169 (2023)
Background: Anisakiasis is a parasitic disease caused by the consumption of raw or undercooked fish that is infected with Anisakis third-stage larvae. In countries, such as Japan, Italy, and Spain, where people have a custom of eating raw or marinate
Externí odkaz:
https://doaj.org/article/31502d25972348c09338d37833cb8236
Autor:
Hirozumi Sawai, Yuka Kiriyama, Hiromasa Kuzuya, Yoshiaki Fujii, Shuhei Ueno, Shuji Koide, Masaaki Kurimoto, Kenji Yamao, Yoichi Matsuo, Mamoru Morimoto, Hajime Koide, Atsushi Kamiya
Publikováno v:
Journal of Medical Case Reports, Vol 17, Iss 1, Pp 1-7 (2023)
Abstract Background Adenosquamous carcinoma of the pancreas is a rare variant, with a worse prognosis than pancreatic ductal adenocarcinoma; moreover, it has characteristic clinical and histopathological features. Studies have mentioned the different
Externí odkaz:
https://doaj.org/article/d9c69e5f061344adb6015a91d7d26208
Autor:
Atsushi Teramoto, Yuka Kiriyama, Tetsuya Tsukamoto, Eiko Sakurai, Ayano Michiba, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To assist this, we previously proposed an automated method based on supervised learning that classifies cells in lung cytological images as beni
Externí odkaz:
https://doaj.org/article/da37f8d3a0f34df290e67e4f6d788569
Autor:
Atsushi Teramoto, Ayano Michiba, Yuka Kiriyama, Eiko Sakurai, Ryoichi Shiroki, Tetsuya Tsukamoto
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1763 (2023)
Urine cytology, which is based on the examination of cellular images obtained from urine, is widely used for the diagnosis of bladder cancer. However, the diagnosis is sometimes difficult in highly heterogeneous carcinomas exhibiting weak cellular at
Externí odkaz:
https://doaj.org/article/b0d96f15d5d74fccb42d73092ef593c4
Autor:
Atsushi Teramoto, Tetsuya Tsukamoto, Ayano Michiba, Yuka Kiriyama, Eiko Sakurai, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3195 (2022)
Interstitial pneumonia of uncertain cause is referred to as idiopathic interstitial pneumonia (IIP). Among the various types of IIPs, the prognosis of cases of idiopathic pulmonary fibrosis (IPF) is extremely poor, and accurate differentiation betwee
Externí odkaz:
https://doaj.org/article/ca6a2c41f6ea43a390ac2da3f1698a1f
Autor:
Eiko Sakurai, Hisato Ishizawa, Yuka Kiriyama, Ayano Michiba, Yasushi Hoshikawa, Tetsuya Tsukamoto
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 12, p 6679 (2022)
In recent years, the choice of immune checkpoint inhibitors (ICIs) as a treatment based on high expression of programmed death-ligand 1 (PD-L1) in lung cancers has been increasing in prevalence. The high expression of PD-L1 could be a predictor of IC
Externí odkaz:
https://doaj.org/article/b91cc28a24fb43c7a016356b12b4402e
Autor:
Atsushi Teramoto, Ayumi Yamada, Tetsuya Tsukamoto, Yuka Kiriyama, Eiko Sakurai, Kazuya Shiogama, Ayano Michiba, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Publikováno v:
Heliyon, Vol 7, Iss 2, Pp e06331- (2021)
Objective: Papanicolaou and Giemsa stains used in cytology have different characteristics and complementary roles. In this study, we focused on cycle-consistent generative adversarial network (CycleGAN), which is an image translation technique using
Externí odkaz:
https://doaj.org/article/7441d5c97d0f4305a0a28776ef1fdc5c
Autor:
Atsushi Teramoto, Tetsuya Tsukamoto, Ayumi Yamada, Yuka Kiriyama, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229951 (2020)
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our previous study, we introduced a deep convolutional neural network (DCNN) to automatically classify cytological images as images with benign or malignant
Externí odkaz:
https://doaj.org/article/fca5a45b5c08414b8707acf7b87f738b
Autor:
Hokuto Akamatsu, Shimpei Akiyama, Ryoichi Kato, Hitoshi Ishise, Ryoichi Shiroki, Yuka Kiriyama, Makoto Kuroda, Hiroshi Toyama
Publikováno v:
Fujita Medical Journal, Vol 3, Iss 1, Pp 20-23 (2017)
We herein report a relatively rare case of an inflammatory myofibroblastic tumor (IMT) of the bladder in a young woman. In contrast to IMTs of other organs, IMTs of the lower urinary tract involve the mixture of a non-neoplastic lesion with a neoplas
Externí odkaz:
https://doaj.org/article/7c450d32f66e4becbe9674f7050f91f9
Autor:
Atsushi Teramoto, Ayumi Yamada, Yuka Kiriyama, Tetsuya Tsukamoto, Ke Yan, Ling Zhang, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Publikováno v:
Informatics in Medicine Unlocked, Vol 16, Iss , Pp - (2019)
Background: Lung cancer is a leading cause of death worldwide, and its early detection is usually performed with low-dose computed tomography. For lesions suspected of abnormality by CT examination, a cytological diagnosis of lung cells collected by
Externí odkaz:
https://doaj.org/article/ade6313e24f644b7945d8a25cefb8581